Fady M Mikhail1. 1. Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Abstract
PURPOSE OF REVIEW: Recent studies clearly demonstrate that copy number variations (CNVs) are widespread in our genome and play an important role in human genetic variation, accounting for both human population diversity and human genetic disease. This review will discuss the most current knowledge regarding our understanding of the biology of CNVs in relation to human genetic disease. RECENT FINDINGS: CNVs associated with human genetic disease can be either recurrent, with a common size and breakpoint clustering, or nonrecurrent, with different sizes and variable breakpoints. Two types of recurrent CNVs have been distinguished, including the syndromic forms in which the phenotypic features are relatively consistent, and those in which the same recurrent CNV can be associated with a diverse set of diagnoses. Recently, the 'Two-hit model' was used to explain the phenotypic variability associated with the latter group of recurrent CNVs. Nonrecurrent CNVs, on the contrary, occur at a relatively lower frequency at the individual locus level but collectively they are as common as recurrent CNVs. Finally, the study of CNV burden in different diseases demonstrated a clear trend of an increasing CNV burden in diseases with more severe phenotypes. SUMMARY: In spite of the advances in the study of the CNV landscape associated with human genetic disease, there still remain many unexplored questions especially regarding the role of CNVs in the pathogenesis of complex human genetic diseases.
PURPOSE OF REVIEW: Recent studies clearly demonstrate that copy number variations (CNVs) are widespread in our genome and play an important role in human genetic variation, accounting for both human population diversity and humangenetic disease. This review will discuss the most current knowledge regarding our understanding of the biology of CNVs in relation to humangenetic disease. RECENT FINDINGS: CNVs associated with humangenetic disease can be either recurrent, with a common size and breakpoint clustering, or nonrecurrent, with different sizes and variable breakpoints. Two types of recurrent CNVs have been distinguished, including the syndromic forms in which the phenotypic features are relatively consistent, and those in which the same recurrent CNV can be associated with a diverse set of diagnoses. Recently, the 'Two-hit model' was used to explain the phenotypic variability associated with the latter group of recurrent CNVs. Nonrecurrent CNVs, on the contrary, occur at a relatively lower frequency at the individual locus level but collectively they are as common as recurrent CNVs. Finally, the study of CNV burden in different diseases demonstrated a clear trend of an increasing CNV burden in diseases with more severe phenotypes. SUMMARY: In spite of the advances in the study of the CNV landscape associated with humangenetic disease, there still remain many unexplored questions especially regarding the role of CNVs in the pathogenesis of complex humangenetic diseases.
Authors: Yanping Wang; Jin Li; Thomas F Kolon; Alicia Olivant Fisher; T Ernesto Figueroa; Ahmad H BaniHani; Jennifer A Hagerty; Ricardo Gonzalez; Paul H Noh; Rosetta M Chiavacci; Kisha R Harden; Debra J Abrams; Deborah Stabley; Cecilia E Kim; Katia Sol-Church; Hakon Hakonarson; Marcella Devoto; Julia Spencer Barthold Journal: BMC Urol Date: 2016-10-21 Impact factor: 2.264
Authors: Margarett Shnorhavorian; Stephen M Schwartz; Barbara Stansfeld; Ingrid Sadler-Riggleman; Daniel Beck; Michael K Skinner Journal: PLoS One Date: 2017-02-01 Impact factor: 3.240
Authors: Peter D Stenson; Matthew Mort; Edward V Ball; Katy Evans; Matthew Hayden; Sally Heywood; Michelle Hussain; Andrew D Phillips; David N Cooper Journal: Hum Genet Date: 2017-03-27 Impact factor: 4.132
Authors: Caspar Grond-Ginsbach; Bowang Chen; Michael Krawczak; Rastislav Pjontek; Philip Ginsbach; Yanxiang Jiang; Shérine Abboud; Marie-Luise Arnold; Anna Bersano; Tobias Brandt; Valeria Caso; Stéphanie Debette; Martin Dichgans; Andreas Geschwendtner; Giacomo Giacalone; Juan-José Martin; Antti J Metso; Tiina M Metso; Armin J Grau; Manja Kloss; Christoph Lichy; Alessandro Pezzini; Christopher Traenka; Stefan Schreiber; Vincent Thijs; Emmanuel Touzé; Elisabetta Del Zotto; Turgut Tatlisumak; Didier Leys; Philippe A Lyrer; Stefan T Engelter Journal: Curr Genomics Date: 2017-04 Impact factor: 2.236
Authors: Ondrej Pös; Jaroslav Budis; Zuzana Kubiritova; Marcel Kucharik; Frantisek Duris; Jan Radvanszky; Tomas Szemes Journal: Int J Mol Sci Date: 2019-09-07 Impact factor: 5.923